notesum.ai

Published at December 5

Boundary-Guided Learning for Gene Expression Prediction in Spatial Transcriptomics

cs.LG

Released Date: December 5, 2024

Authors: Mingcheng Qu¹, Yuncong Wu¹, Donglin Di², Anyang Su³, Tonghua Su¹, Yang Song⁴, Lei Fan⁴

Aff.: ¹Harbin Institute of Technology; ²Li Auto; ³Jilin University; ⁴UNSW

Arxiv: http://arxiv.org/pdf/2412.04072v1

Refer to caption

Models	HER2ST			STNet			SKin
Models	MSE ( $\downarrow$ )	PCC(M) ( $\uparrow$ )	PCC(H) ( $\uparrow$ )	MSE ( $\downarrow$ )	PCC(M) ( $\uparrow$ )	PCC(H) ( $\uparrow$ )	MSE ( $\downarrow$ )	PCC(M) ( $\uparrow$ )	PCC(H) ( $\uparrow$ )
ST-Net [11]	0.260 $\pm$ 0.04	0.194 $\pm$ 0.11	0.345 $\pm$ 0.16	0.209 $\pm$ 0.02	0.116 $\pm$ 0.06	0.223 $\pm$ 0.10	0.294 $\pm$ 0.07	0.274 $\pm$ 0.08	0.382 $\pm$ 0.08
EGN [18]	0.241 $\pm$ 0.06	0.197 $\pm$ 0.11	0.328 $\pm$ 0.17	0.192 $\pm$ 0.02	0.111 $\pm$ 0.05	0.203 $\pm$ 0.09	0.281 $\pm$ 0.08	0.281 $\pm$ 0.06	0.388 $\pm$ 0.06
BLEEP [19]	0.277 $\pm$ 0.05	0.151 $\pm$ 0.11	0.277 $\pm$ 0.10	0.235 $\pm$ 0.02	0.145 $\pm$ 0.05	0.193 $\pm$ 0.10	0.297 $\pm$ 0.08	0.269 $\pm$ 0.07	0.396 $\pm$ 0.08
HistoGene [13]	0.248 $\pm$ 0.05	0.178 $\pm$ 0.13	0.308 $\pm$ 0.14	0.199 $\pm$ 0.03	0.122 $\pm$ 0.10	0.201 $\pm$ 0.09	0.294 $\pm$ 0.07	0.312 $\pm$ 0.07	0.406 $\pm$ 0.10
His2ST [15]	0.285 $\pm$ 0.08	0.118 $\pm$ 0.10	0.258 $\pm$ 0.11	0.181 $\pm$ 0.07	0.144 $\pm$ 0.07	0.199 $\pm$ 0.07	0.291 $\pm$ 0.16	0.174 $\pm$ 0.16	0.353 $\pm$ 0.07
TRIPLEX [16]	0.228 $\pm$ 0.07	0.314 $\pm$ 0.14	0.497 $\pm$ 0.17	0.202 $\pm$ 0.07	0.206 $\pm$ 0.07	0.352 $\pm$ 0.10	0.268 $\pm$ 0.09	0.374 $\pm$ 0.07	0.490 $\pm$ 0.07
TG-TRIPLEX	0.277 $\pm$ 0.01	0.366 $\pm$ 0.02	0.605 $\pm$ 0.02	0.1338 $\pm$ 0.01	0.4978 $\pm$ 0.02	0.7234 $\pm$ 0.04	0.128 $\pm$ 0.01	0.655 $\pm$ 0.01	0.752 $\pm$ 0.01